Can we train the model to detect real users with only positive labels?
The problem which you have is a classification problem. You assume a class "good users" and a distinct class "bad users". You want to train an AI to tell the two apart, but all your examples are "good users". Any reasonable AI will draw the logical conclusion from those examples: all users are good users. That's a 100% match for the training data.